Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/18854
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dc.contributor.authorDobrina O.-
dc.date.accessioned2016-04-05T13:02:54Z-
dc.date.available2016-04-05T13:02:54Z-
dc.date.issued2012-10-
dc.identifier.citationDodrina O. Segmentation as a part of the intelligent medical image processing / O. Dobrina // Інтелектуальні технології лінгвістичного аналізу: міжнар. наук.-техн. конф. 23-24 жовтня 2012 р.: тези доп. – К., НАУ, 2012. – С. 33.uk_UA
dc.identifier.urihttp://er.nau.edu.ua/handle/NAU/18854-
dc.description.abstractSegmentation is one of the key tools in medical image analysis that allows an accurate recognizing and delineating individual objects (e.g. organs) on the whole image quickly and effectively. In general, segmentation technics can be divided into two main groups: methods of explicitly specifying the desired feature and algorithms where the specification is implicit. Automated segmentation of medical images is a difficult task, because the images are often noisy and contain more than a single anatomical structure with narrow distance between organ boundaries.uk_UA
dc.publisherКиїв, Національний авіаційний університетuk_UA
dc.subjectmultimodality imagesuk_UA
dc.subjectsegmentationuk_UA
dc.subjectanalysisuk_UA
dc.titleSegmentation as a part of the intelligent medical image processinguk_UA
dc.typeThesisuk_UA
dc.subject.udcУДК 606:01(043.2)-
Appears in Collections:Матеріали конференції «Інтелектуальні технології лінгвістичного аналізу»

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